About The Position

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. Our industry recognition includes: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. Top analyst recognitions from Gartner, ISG, and Everest Group. Consecutive certifications as a Great Place to Work. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

Requirements

  • Strong program management fundamentals (project planning, dependency mapping, RAID, stakeholder management).
  • Technical fluency: system design concepts, APIs, data flows, environments, CI/CD concepts.
  • Experience driving cross-team software/platform/infrastructure programs.
  • Comfort with ambiguity and technical trade-offs; can facilitate decisions.

Nice To Haves

  • Experience with AI/ML or data platforms.
  • Familiarity with SRE practices (SLO/SLI, incident management, observability).
  • Experience with large migrations, platform modernization, or reliability programs.

Responsibilities

  • Define program objectives, success metrics, scope boundaries, and sequencing.
  • Build an integrated roadmap across teams; manage critical path and trade-offs.
  • Translate business goals into technical milestones and engineering deliverables.
  • Drive integration plans across services, APIs, data contracts, and environments.
  • Ensure non-functional requirements are planned: reliability, scalability, security, privacy, cost, and observability.
  • Establish operating cadence across internal & dependent teams (working session, project reviews, milestone reviews, launch readiness, go/no-go).
  • Anticipate bottlenecks; negotiate sequencing and resourcing with engineering leaders.
  • Own RAID management and escalation with options and recommendations.
  • Drive launch plans, cutovers, feature flags, rollback strategies, and runbooks.
  • Partner with SRE/Infra to ensure monitoring, alerting, SLOs, and on-call readiness.
  • Align engineering, product/business, security/compliance, and operations.
  • Communicate progress and trade-offs clearly to leadership; maintain a decision log.
  • Drives cross-team execution without relying on escalation as the primary lever.
  • Makes ambiguity smaller: produces clear charters, milestones, and dependency maps.
  • Understands enough technical detail to ask the right questions, surface integration risks early, and identify missing work (e.g., telemetry, data backfills, DR, access controls).
  • Anticipates and manages systemic risks (migration complexity, reliability debt, data quality).
  • Ships with operational excellence: readiness reviews, runbooks, SLOs, post-launch validation.

Benefits

  • Exposure to working with fortune 500 companies and innovative market disruptors
  • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
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